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Featured external quantum article
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[https://scholarlywiki.org/mainpage/external_quantum_article.png Open image full size]
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[[File:Quantum open systems article yellow.png|250px|link=https://arxiv.org/abs/2605.16195]]
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Illustration for the featured external quantum article on open quantum systems and matrix differential equations.
Image from or related to the featured external quantum article.
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Featured external quantum article
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Efficient quantum algorithm for linear matrix differential equations and applications to open quantum systems
In Quantum Sensing, What Beats Beating Noise? Meeting Noise Halfway.
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Sophia Simon, Dominic W. Berry, Rolando D. Somma · arXiv:2605.16195 · submitted 15 May 2026 · Quantum Physics
NIST · Quantum science · 2025-09-10
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'''Abstract.''' We present an efficient, nearly optimal quantum algorithm for solving linear matrix differential equations, with applications to the simulation of open quantum systems and beyond.
'''Article preview.'''<br>
For unitary or dissipative dynamics, the algorithm computes an entry of the solution matrix with query complexity that scales nearly optimally with the relevant problem parameters, evolution time, and target error.
A team including scientists at NIST may have found a new way of dealing with noise at<br>
The work contrasts earlier quantum approaches for differential equations, which can require exponential time because the solution is encoded in a quantum state with very small amplitudes.
the microscopic scales where quantum physics reigns.<br>
The authors demonstrate the method through the simulation of dissipative dynamics for non-interacting fermions, compare it with classical algorithms, and give evidence for polynomial quantum speedups in lattice systems.
The article is featured here because it connects current quantum research with a<br>
broader scientific or technological problem.<br>
The preview highlights the main idea while leaving the detailed evidence, figures and<br>
technical discussion to the original source.<br>
Topic area: Quantum science.<br>
Publication or update date: 2025-09-10.<br>
The selected source is NIST; the full article link appears below this preview.<br>
The right-side image is selected from the same article URL when a usable article image<br>
is available.<br>
Readers can follow the source link for the complete article, credits and surrounding<br>
context.
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[https://arxiv.org/abs/2605.16195 Read the full paper at arXiv →]
[https://www.nist.gov/news-events/news/2025/09/quantum-sensing-what-beats-beating-noise-meeting-noise-halfway Read the full article at NIST ->]
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External source: arXiv quant-ph. This is a preprint and is not necessarily peer reviewed.
External source: NIST. Selected external quantum article.
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Credits: NIST · 2025-09-10
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Latest revision as of 09:10, 25 May 2026

Open image full size

Image from or related to the featured external quantum article.

Featured external quantum article

In Quantum Sensing, What Beats Beating Noise? Meeting Noise Halfway.

NIST · Quantum science · 2025-09-10

Article preview.
A team including scientists at NIST may have found a new way of dealing with noise at
the microscopic scales where quantum physics reigns.
The article is featured here because it connects current quantum research with a
broader scientific or technological problem.
The preview highlights the main idea while leaving the detailed evidence, figures and
technical discussion to the original source.
Topic area: Quantum science.
Publication or update date: 2025-09-10.
The selected source is NIST; the full article link appears below this preview.
The right-side image is selected from the same article URL when a usable article image
is available.
Readers can follow the source link for the complete article, credits and surrounding
context.

External source: NIST. Selected external quantum article.

Credits: NIST · 2025-09-10

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